周期信号参数高精度估计方法与应用
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摘要
给出连续谱峰搜索法高精度估计参数的牛顿迭代法格式。针对频谱的起伏剧烈,用基因算法修正了迭代过程。仿真结果表明,连续谱峰搜索法估计参数的精度远高于传统的FFT谱线算法。旋转机械和心音的两个实例都表明连续谱搜峰法的优越性。
In order to estimate periodic signal parameters with high precision during fault diagnosis,the discrete FFT spectrum lines were taken as the sampling points on a continuous spectrum function.An iterative algorithm based on Newton iteration method were presented to determine this function peak parameters from which the periodic signal parameters could be extracted with high precision.Genetics method was also introduced in the scheme to eliminate the difficulty of many vertexes.Simulation result shows the presented method is more precise than current FFT method.Two examples,rotary machinery and heart sound analysis,verify the advantage of the suggested method.
引文
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